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KNOWLEDGE BASE TECHNOLOGIES AS A NEW PARADIGM IN DATA DRIVEN MANUFACTURING SYSTEM

Abdul Shakoor1, R.A. Sayed2, Khizar Azam2

1 Loughborough University, Leicestershire LE11 3TU, UK.
2 NWFP University of Engineering & Technology, Peshawar, Pakistan.

ABSTRACT

The maximization of prospects for substantial benefits and projecting the industry to fulfill the competitive needs in globally oriented business environment requires wide-ranging information based decision support system. The knowledge sharing framework requires an extensive research to improve inter-operatiability of cross-functional systems and subsequently provide the basis for diverse utilization of knowledge base technologies in manufacturing. The effective knowledge sharing framework in manufacturing industries is used to speed-up the New Product Development & Introduction (NPDI) process and improves the effectiveness of information flow in Product Lifecycle Management (PLM) environment. This paper describes the development of Knowledge Base System (KBS) to select process for making circular shapes and explores the manufacturability of the required designed product. The KBS is an expert system, used to select the suitable process and cutting tools by defining the constraint values into the system. The KBS is designed using E2KS, the state of the art software and knowledge capturing techniques. The machining examples are used to demonstrate the implementation of the system and how it will provide a basis for knowledge sharing in PLM environment. The Manufacturing knowledge is captured in order to provide manufacturing consequences.
 

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Journal of Engineering and Applied Sciences

December

Vol. 39, Iss. 2, pp. 127-179

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